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Xiawu Zheng

55 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8)
🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (82) 🀝 Dynamic Duo (32) πŸ‘₯ Mega-Team (28) πŸ† Grand Slam πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (172) πŸ’Ž Century Club (53) ⚑ Prolific Year (16) πŸš€ Conference Pioneer

Conferences

CVPR (12) AAAI (11) ICLR (8) ICML (8) ICCV (7) ECCV (3) ACL (2) IJCAI (2) COLING (1) NIPS (1)

Papers

QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension AAAI 2026 Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning AAAI 2026 Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment CVPR 2025 Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis CVPR 2025 Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models ICCV 2025 Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation AAAI 2025 AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery ICCV 2025 From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning ICCV 2025 Feature Denoising Diffusion Model for Blind Image Quality Assessment AAAI 2025 Dynamic Clustering Convolutional Neural Network AAAI 2025 Data Interpreter: An LLM Agent for Data Science ACL 2025 Automated Fine-Grained Mixture-of-Experts Quantization ACL 2025 Learning Transition Patterns by Large Language Models for Sequential Recommendation COLING 2025 Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective ICML 2025 Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective ICML 2025 Dynamic Low-Rank Sparse Adaptation for Large Language Models ICLR 2025 Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models ICLR 2025 Learning Interleaved Image-Text Comprehension in Vision-Language Large Models ICLR 2025 Multimodal Quantitative Language for Generative Recommendation ICLR 2025 BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training ICML 2025 polybasic Speculative Decoding Through a Theoretical Perspective ICML 2025 Multi-branch Collaborative Learning Network for 3D Visual Grounding ECCV 2024 Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning AAAI 2024 Binding-Adaptive Diffusion Models for Structure-Based Drug Design AAAI 2024 Solving the Catastrophic Forgetting Problem in Generalized Category Discovery CVPR 2024 GraCo: Granularity-Controllable Interactive Segmentation CVPR 2024 Bilateral Event Mining and Complementary for Event Stream Super-Resolution CVPR 2024 RepAn: Enhanced Annealing through Re-parameterization CVPR 2024 Textual Grounding for Open-vocabulary Visual Information Extraction in Layout-diversified Documents ECCV 2024 MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework ICLR 2024 Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models ICLR 2024 AffineQuant: Affine Transformation Quantization for Large Language Models ICLR 2024 Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation ICML 2024 Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity ICML 2024 Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment ICML 2024 Outlier-aware Slicing for Post-Training Quantization in Vision Transformer ICML 2024 Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion IJCAI 2024 AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration ICCV 2023 Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning NIPS 2023 Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning CVPR 2023 Meta Architecture for Point Cloud Analysis CVPR 2023 Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023 A Unified Framework for Soft Threshold Pruning ICLR 2023 OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023 Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle ICCV 2023 Data-Efficient Image Quality Assessment with Attention-Panel Decoder AAAI 2023 Training-Free Transformer Architecture Search CVPR 2022 Neural Architecture Search With Representation Mutual Information CVPR 2022 EC-DARTS: Inducing Equalized and Consistent Optimization Into DARTS ICCV 2021 Binarized Neural Architecture Search AAAI 2020 Rethinking Performance Estimation in Neural Architecture Search CVPR 2020 PAMS: Quantized Super-Resolution via Parameterized Max Scale ECCV 2020 Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer AAAI 2019 Multinomial Distribution Learning for Effective Neural Architecture Search ICCV 2019 Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval IJCAI 2018